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Shankar Kumar
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2020 – today
- 2024
- [c40]Felix Stahlberg, Shankar Kumar:
Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models. BEA 2024: 11-16 - [c39]Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng:
Towards an On-device Agent for Text Rewriting. NAACL-HLT (Findings) 2024: 2535-2552 - [i32]Leonid Velikovich, Christopher Li, Diamantino Caseiro, Shankar Kumar, Pat Rondon, Kandarp Joshi, Xavier Velez:
Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices. CoRR abs/2409.16469 (2024) - 2023
- [j10]CJ Carey
, Travis Dick
Measuring Re-identification Risk. Proc. ACM Manag. Data 1(2): 149:1-149:26 (2023) - [c38]Arya McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu:
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. EMNLP (Findings) 2023: 247-257 - [c37]Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar:
Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP 2023: 1-5 - [c36]W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath:
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH 2023: 2778-2782 - [c35]Eric Malmi
Fast Text Generation with Text-Editing Models. KDD 2023: 5815-5816 - [i31]CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong:
Measuring Re-identification Risk. CoRR abs/2304.07210 (2023) - [i30]W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath:
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR abs/2305.18419 (2023) - [i29]Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng:
Towards an On-device Agent for Text Rewriting. CoRR abs/2308.11807 (2023) - [i28]Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews:
Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR abs/2310.02549 (2023) - [i27]Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu:
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. CoRR abs/2310.13678 (2023) - 2022
- [c34]Felix Stahlberg, Ilia Kulikov, Shankar Kumar:
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. ACL (1) 2022: 8634-8645 - [c33]Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews:
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP 2022: 6097-6101 - [c32]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH 2022: 689-693 - [c31]Felix Stahlberg, Shankar Kumar:
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. NAACL-HLT 2022: 4950-4961 - [i26]Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar:
Transformer-based Models of Text Normalization for Speech Applications. CoRR abs/2202.00153 (2022) - [i25]Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews:
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR abs/2202.08171 (2022) - [i24]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR abs/2203.05008 (2022) - [i23]Felix Stahlberg, Ilia Kulikov, Shankar Kumar:
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. CoRR abs/2204.00471 (2022) - [i22]Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews:
Scaling Language Model Size in Cross-Device Federated Learning. CoRR abs/2204.09715 (2022) - [i21]Felix Stahlberg, Shankar Kumar:
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. CoRR abs/2205.00704 (2022) - [i20]Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn:
Text Generation with Text-Editing Models. CoRR abs/2206.07043 (2022) - [i19]Jared Lichtarge, Chris Alberti, Shankar Kumar:
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models. CoRR abs/2209.04683 (2022) - [i18]Felix Stahlberg, Aashish Kumar, Chris Alberti, Shankar Kumar:
Conciseness: An Overlooked Language Task. CoRR abs/2211.04126 (2022) - [i17]Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Axel H. Ng:
Improved Long-Form Spoken Language Translation with Large Language Models. CoRR abs/2212.09895 (2022) - 2021
- [c30]Felix Stahlberg, Shankar Kumar:
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. BEA@EACL 2021: 37-47 - [c29]Simon Flachs, Felix Stahlberg, Shankar Kumar:
Data Strategies for Low-Resource Grammatical Error Correction. BEA@EACL 2021: 117-122 - [c28]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech 2021: 2002-2006 - [i16]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR abs/2104.04552 (2021) - [i15]Felix Stahlberg, Shankar Kumar:
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. CoRR abs/2105.13318 (2021) - [i14]Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews:
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR abs/2108.11943 (2021) - 2020
- [j9]Jared Lichtarge, Chris Alberti, Shankar Kumar:
Data Weighted Training Strategies for Grammatical Error Correction. Trans. Assoc. Comput. Linguistics 8: 634-646 (2020) - [c27]Felix Stahlberg, Shankar Kumar:
Seq2Edits: Sequence Transduction Using Span-level Edit Operations. EMNLP (1) 2020: 5147-5159 - [c26]Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar:
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. ICASSP 2020: 7829-7833 - [c25]Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar:
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. INTERSPEECH 2020: 4921-4925 - [i13]Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar:
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. CoRR abs/2002.02562 (2020) - [i12]Jared Lichtarge, Chris Alberti, Shankar Kumar:
Data Weighted Training Strategies for Grammatical Error Correction. CoRR abs/2008.02976 (2020) - [i11]Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar:
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. CoRR abs/2008.10491 (2020) - [i10]Felix Stahlberg, Shankar Kumar:
Seq2Edits: Sequence Transduction Using Span-level Edit Operations. CoRR abs/2009.11136 (2020)
2010 – 2019
- 2019
- [c24]Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong:
Corpora Generation for Grammatical Error Correction. NAACL-HLT (1) 2019: 3291-3301 - [i9]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i8]Antonios Anastasopoulos, Shankar Kumar, Hank Liao:
Neural Language Modeling with Visual Features. CoRR abs/1903.02930 (2019) - [i7]Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong:
Corpora Generation for Grammatical Error Correction. CoRR abs/1904.05780 (2019) - 2018
- [c23]Eunjoon Cho, Shankar Kumar:
A Conversational Neural Language Model for Speech Recognition in Digital Assistants. ICASSP 2018: 5784-5788 - [c22]Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu:
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. ICASSP 2018: 5859-5863 - [c21]Kazuki Irie, Shankar Kumar, Michael Nirschl, Hank Liao:
RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling. ICASSP 2018: 6079-6083 - [c20]Min Ma, Shankar Kumar, Fadi Biadsy, Michael Nirschl, Tomas Vykruta, Pedro J. Moreno:
Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation. ICASSP 2018: 6094-6098 - [i6]Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar:
Weakly Supervised Grammatical Error Correction using Iterative Decoding. CoRR abs/1811.01710 (2018) - 2017
- [c19]Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu:
Lattice rescoring strategies for long short term memory language models in speech recognition. ASRU 2017: 165-172 - [c18]Min Ma, Michael Nirschl, Fadi Biadsy, Shankar Kumar:
Approaches for Neural-Network Language Model Adaptation. INTERSPEECH 2017: 259-263 - [i5]Shankar Kumar, Michael Nirschl, Daniel N. Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu:
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition. CoRR abs/1711.05448 (2017) - [i4]Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu:
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. CoRR abs/1712.01864 (2017) - 2016
- [c17]Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier:
NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition. INTERSPEECH 2016: 3499-3503 - [i3]Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier:
NN-grams: Unifying neural network and n-gram language models for Speech Recognition. CoRR abs/1606.07470 (2016) - 2015
- [c16]Manaal Faruqui, Shankar Kumar:
Multilingual Open Relation Extraction Using Cross-lingual Projection. HLT-NAACL 2015: 1351-1356 - [i2]Manaal Faruqui, Shankar Kumar:
Multilingual Open Relation Extraction Using Cross-lingual Projection. CoRR abs/1503.06450 (2015) - 2012
- [i1]Ciprian Chelba, Dan Bikel, Maria Shugrina, Patrick Nguyen, Shankar Kumar:
Large Scale Language Modeling in Automatic Speech Recognition. CoRR abs/1210.8440 (2012) - 2010
- [c15]Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley:
Expected Sequence Similarity Maximization. HLT-NAACL 2010: 957-965 - [c14]John DeNero, Shankar Kumar, Ciprian Chelba, Franz Josef Och:
Model Combination for Machine Translation. HLT-NAACL 2010: 975-983
2000 – 2009
- 2009
- [j8]Tony Ingham, Sandeep Rajhans, Dhiraj Kumar Sinha, Kalyani Sastry, Shankar Kumar:
Design validation of service delivery platform using modeling and simulation. IEEE Commun. Mag. 47(3): 135-141 (2009) - [c13]Shankar Kumar, Wolfgang Macherey, Chris Dyer, Franz Josef Och:
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices. ACL/IJCNLP 2009: 163-171 - 2008
- [c12]Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfgang Macherey:
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation. EMNLP 2008: 620-629 - [c11]Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly:
Video suggestion and discovery for youtube: taking random walks through the view graph. WWW 2008: 895-904 - 2007
- [j7]Yonggang Deng, Shankar Kumar, William Byrne:
Segmentation and alignment of parallel text for statistical machine translation. Nat. Lang. Eng. 13(3): 235-260 (2007) - [c10]Shankar Kumar, Franz Josef Och, Wolfgang Macherey:
Improving Word Alignment with Bridge Languages. EMNLP-CoNLL 2007: 42-50 - 2006
- [j6]Shankar Kumar, Yonggang Deng, William Byrne:
A weighted finite state transducer translation template model for statistical machine translation. Nat. Lang. Eng. 12(1): 35-75 (2006) - [j5]Vaibhava Goel
Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. 14(1): 356-357 (2006) - 2005
- [c9]Shankar Kumar, William J. Byrne:
Local Phrase Reordering Models for Statistical Machine Translation. HLT/EMNLP 2005: 161-168 - 2004
- [j4]Vaibhava Goel
Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. 12(3): 234-249 (2004) - [c8]Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alexander M. Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, Dragomir R. Radev:
A Smorgasbord of Features for Statistical Machine Translation. HLT-NAACL 2004: 161-168 - [c7]Shankar Kumar, William J. Byrne:
Minimum Bayes-Risk Decoding for Statistical Machine Translation. HLT-NAACL 2004: 169-176 - 2003
- [c6]Shankar Kumar, William J. Byrne:
A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation. HLT-NAACL 2003 - 2002
- [c5]Shankar Kumar, William Byrne:
Minimum Bayes-Risk Word Alignments of Bilingual Texts. EMNLP 2002: 140-147 - [c4]Shankar Kumar, William Byrne:
Risk based lattice cutting for segmental minimum Bayes-risk decoding. INTERSPEECH 2002: 373-376 - 2001
- [j3]Richard Sproat, Alan W. Black, Stanley F. Chen, Shankar Kumar, Mari Ostendorf, Christopher Richards:
Normalization of non-standard words. Comput. Speech Lang. 15(3): 287-333 (2001) - [c3]Vaibhava Goel, Shankar Kumar, William Byrne:
Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH 2001: 2569-2572 - 2000
- [c2]Vaibhava Goel, Shankar Kumar, William Byrne:
Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH 2000: 139-142 - [c1]Hsiao-Wuen Hon, Shankar Kumar, Kuansan Wang:
Unifying HMM and phone-pair segment models. INTERSPEECH 2000: 286-289
1990 – 1999
- 1996
- [j2]Shankar Kumar, Philip W. Payne, Maximiliano Vásquez:
Method for free-energy calculations using iterative techniques. J. Comput. Chem. 17(10): 1269-1275 (1996) - 1995
- [j1]Shankar Kumar, John M. Rosenberg, Djamal Bouzida, Robert H. Swendsen
Multidimensional Free-Energy Calculations Using the Weighted Histogram Analysis Method. J. Comput. Chem. 16(11): 1339-1350 (1995)
Coauthor Index
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last updated on 2024-10-17 20:31 CEST by the dblp team
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